Recent studies suggest that Diffusion Kurtosis Imaging
(DKI) is more sensitive to gray microstructure than the well-known diffusion
tensor imaging (DTI). However, DKI suffers from a low signal-to-noise ratio
(SNR), since it is based on multiple and high b-value data. Thus, in-vivo
high-resolution DKI with small voxel sizes has not been available on clinical
scanners. We aimed to overcome the low SNR issue by using a novel version of
the position orientation adaptive smoothing (POAS), which is separately
applied on grey and white matter masks.